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Due to the increasing aging of the population, the number of elderly people requiring care is growing in most European countries. However, the number of caregivers working in nursing homes and on daily care services is declining in countries like Germany or Italy. This limits the time for interpersonal communication. Furthermore, as a result of the Covid-19 pandemic, social distancing during contact restrictions became more important, causing an additional reduction of personal interaction. This social isolation can strongly increase emotional stress. Robotic assistance could contribute to addressing this challenge on three levels: (1) supporting caregivers to respond individually to the needs of patients and residents in nursing homes; (2) observing patients’ health and emotional state; (3) complying with high hygiene standards and minimizing human contact if required. To further the research on emotional aspects and the acceptance of robotic assistance in care, we conducted two studies where elderly participants interacted with the social robot Misa. Facial expression and voice analysis were used to identify and measure the emotional state of the participants during the interaction. While interpersonal contact plays a major role in elderly care, the findings reveal that robotic assistance generates added value for both caregivers and patients and that they show emotions while interacting with them.
When a new product is produced, it makes sense, to test the usability before its appearance on the market. Within such a test there are different methods which can be used. For example, the eyetracking method. This research report illustrates how the eyetracking method can be used in combination with a qualitative inquiry to identify problems of a product. The study was conducted in cooperation with the company K+UPrintwareGmbH in Ettenheim. The object of the study was the EcoCash recycling and selling machine. The main element of this study is the identification of problems in the user interface and the handling of the machine. Furthermore, solutions to solve the problems were included.
Diese Bachelor Thesis analysiert bisherige Mensch-Computer-Interaktion und nennt wichtige Grundlagen des Interaction Design. Im Rahmen der Arbeit wird prototypisch eine NUI-Anwendung (NUI: Natural User Interface) konzipiert und umgesetzt. Um eine erfolgreiche Neukonzeption von natürlichen Interaktionsmöglichkeiten zu ermöglichen, wird die Mensch-Objekt-Interaktion analysiert. Wichtige Eckpunkte im visuellen Interface-Design wie auch in der Umsetzung einer NUI-Anwendung werden deutlich gemacht. Das Fazit macht klar: eine erfolgreiche Umsetzung des Konzepts ist gelungen, Verbesserungsansätze werden genannt. Im letzten Kapitel werden Anwendungsfälle und Ausblicke aufgeführt. Ergebnis: bei geschickter, massentauglicher Implementierung ist natürliche Interaktion zwischen Mensch und Computer schon in naher Zukunft sehr gut möglich und keine Vision aus dem Bereich der Science-Fiction.